P5559The effect of prehospital P2Y12 receptor inhibition in primary percutaneous coronary intervention for ST-segment elevation myocardial infarction: the ATLANTIC-Elderly analysis
Bibliographic record
Abstract
Aims To examine whether the main results of the ATLANTIC trial in patients with ST-elevation myocardial infarction (STEMI), randomized to pre- versus in-hospital ticagrelor, differ according to class of age. Methods and results: Patients were evaluated by class of age (<75 vs. ≥75) for demographics, prior cardiovascular history and risk factors, management, and outcomes. Elderly patients (304/1862) were more likely to be women, diabetic, lean, with a prior history of myocardial infarction and CABG, and with comorbidities (p<0.01 for all). Elderly presented more frequently with acute heart failure, had less frequently thromboaspiration and a stent implanted (p<0.01). They received significantly less frequently GP IIb/IIIa inhibitors before PCI, parenteral anticoagulation after PCI and a maintenance dose of P2Y12 inhibitors. elderly patients had higher rates of the following endpoints: absence of post-PCI ≥70% ST-segment elevation resolution (51.6% versus 43.9%; P=0.035), absence of TIMI 3 flow grade after PCI (27.5% versus 17.1%, p=0.0002), composite of death/MI/stroke/urgent revascularization (9.9% versus 2.9%; OR 3.67 95% CI [2.27; 5.93], p<0.0001) and mortality (8.5% versus 1.5%; OR 6.45 95% CI [2.75; 15.11], p<0.0001). They also tended to have more frequently major bleedings (TIMI major 2.3% versus 1.1%; OR 2.13 [0.88; 5.18], p=0.095). There was no significant interaction between time of ticagrelor administration (pre-hospital versus in-lab) and class of age.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".